ImmiR

ImmiR integrates curated data from scientific literature and bioinformatics analyses to define immune checkpoint pathways and their associations with microRNAs and tumor-infiltrating lymphocytes.

Key Features:

• miRNA-Immune Checkpoint Gene Interaction Analysis: Investigates interactions between miRNAs and immune checkpoint genes across 32 immune checkpoint pathways using integrated bioinformatics approaches.
• miRNA-TIL Association Analysis: Identifies associations between miRNAs and 84 immune cell types representing tumor-infiltrating lymphocytes.
• Pathway and Ligand/Receptor Definition: Defines immune checkpoint pathways and their ligands/receptors from curated data.
• Multi-perspective Functional Visualizations: Provides visualizations enabling exploration of significant associations from perspectives of miRNAs, immune checkpoint genes/pathways, and cancer types.

Scientific Applications:

• Cancer Immunotherapy Research: Supports discovery of novel therapeutic targets and refinement of miRNA-based immunotherapies.
• Precision Medicine: Advances precision medicine approaches in cancer immunotherapy by integrating multi-cancer type data.
• Combination Therapy Development: Facilitates investigation of miRNAs as potential treatment modalities in combination therapies with immune checkpoint inhibitors.

Methodology:

ImmiR uses integrated bioinformatics approaches to investigate interactions between miRNAs and immune checkpoint genes and associations between miRNAs and tumor-infiltrating lymphocytes.